Knowledge vs. Simulation for Bidding in Tarok
Domen Marinčič, Matjaž Gams, Mitja Luštrek · 2006
approach. A general knowledge-based decision model for bidding in games with its strategy encoded in a Bayesian network was designed. A program for playing four-player tarok was implemented incorporating a specialised instance of the decision model and a simulation module for bidding. Both approaches were compared. The knowledge-based decision model was further compared to human experts, showing that it performs on par with them. Povzetek: V članku predstavljamo in primerjamo dva pristopa k reševanju problemov licitiranja v igrah: pristop s predznanjem in pristop s simulacijo. 1